Experienced Full Stack Data Scientist – Machine Learning & Predictive Modeling @arenaflex

Are you a highly skilled data scientist with a passion for machine learning and predictive modeling? Do you want to join a dynamic team at arenaflex, a leading retail company, and contribute to shaping the future of retail, tech, and finance? We're looking for an experienced full stack data scientist to join our team and help us drive business growth through data-driven insights.

About arenaflex

arenaflex is a global retail company that helps people save money to live better. We're committed to making a positive impact on our customers, associates, and communities. Our mission is to provide affordable products and services that make a difference in people's lives. We're proud to be an equal opportunity employer and believe in the importance of diversity, equity, and inclusion.

Job Summary

As an experienced full stack data scientist at arenaflex, you'll be responsible for building and deploying machine learning models to enhance our Last Mile group's performance. You'll work closely with cross-functional teams to drive business growth through data-driven insights and predictive modeling. Your expertise in machine learning, deep learning, and statistical modeling will help us optimize our operations, improve customer satisfaction, and reduce costs.

Key Responsibilities

* Build and deploy machine learning models to enhance the performance of our Last Mile group, including motive force abuse and motive force seek algorithms

• Drive weekly reputation updates and handle ad-hoc requests or queries associated with motive force abuse version and escalations from commercial enterprise stakeholders
• Incorporate lacking PO in motive force abuse version and implement modifications to the version as required
• Optimize and develop motive force abuse models used by the Trust & Safety group to flag drivers and take vital movements primarily based totally at the output of version
• Automate the driving force abuse pipeline for every day and hourly reviews by using including additive fashions
• Build new shop release call for prediction pipeline using ensemble strategies, time collection forecasting, and regression algorithms to expect order quantity in real-time and estimate motive force deliver had to satisfy the call for
• Run and maintain hourly motive force abuse version, daily model, and motive force abuse dashboards
• Create powerful reporting and dashboards using understanding in records visualization (e.g. Python libraries, GGplot, Matplotlib, Ploty, and Tableau) to generate suitable graphical representations of records and version outcomes
• Support client necessities and design records representations for complicated records
• Develop quit to quit predictive fashions for product improvements and optimization of present capabilities
• Apply first-class practices for version optimization, testing, and tuning using Chi rectangular, ROC curve, and root suggest rectangular blunders to evaluate accuracy, fit, validity, and robustness of multi-level fashions and version ensembles
• Perform tremendous records and statistical evaluation by extracting applicable data using coding gear together with Python, Pandas, and SQL from diverse records reassets and records mining strategies to recognize underlying distributions (together with left skewed, proper skewed, ordinary distributions, CLTs, Standard deviations, and significant tendency) and styles in records

Minimum Qualifications

* Bachelor's degree or equal in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or associated subject

• 2 years of experience in an analytics or associated subject

Preferred Qualifications

* Master's degree or Ph.D. in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or associated subject

• 5+ years of experience in analytics or associated subject
• Experience with version constructing and optimization
• Experience with gadget mastering and deep mastering algorithms
• Experience with predictive, statistical, and analytical modeling and exploratory records evaluation strategies and strategies
• Experience with parametric and non-parametric distributions to enhance the overall performance of fashions
• Experience with version evaluation and validation, version fit, and testing, tuning, and validation strategies
• Experience with the effect of variables and capabilities on version overall performance
• Experience growing powerful reporting and dashboards using records visualization which include Python libraries, GGplot, Matplotlib, and Tableau to generate suitable graphical representations of records and version outcomes
• Experience with records supply identity and records set creation
• Experience with purposeful commercial enterprise area and scenarios
• Experience making use of database technology for records extraction, records manipulation, and records pre-processing using SQL
• Experience with code improvement and testing
• Experience with coding languages which include SQL, Python, and Pandas
• Experience studying underlying traits and records distributions to discover person ache factors and endorse upgrades to product teams
• Experience participating with group individuals to facilitate communications throughout one of a kind features of the wider group
• Experience with Git and Github

Flexible, Hybrid Work

We use a hybrid manner of operating which is in the main in workplace coupled with digital while now no longer onsite. Our campuses function a hub to beautify collaboration, carry us collectively for motive and supply on commercial enterprise needs. This method enables us make faster decisions, eliminate place boundaries throughout our international crew and be extra bendy in our non-public lives.

Benefits

At arenaflex, we provide aggressive pay in addition to overall performance-primarily based totally incentive awards and different incredible advantages for a happier mind, body, and wallet. Health advantages encompass medical, imaginative and prescient and dental coverage. Financial advantages encompass 401(k), inventory buy and enterprise-paid existence insurance. Paid break day advantages encompass PTO (which include ill leave), parental leave, own circle of relatives care leave, bereavement, jury obligation and voting. Other advantages encompass short-time period and long-time period disability, training help with 100% enterprise paid university degrees, enterprise discounts, navy provider pay, adoption rate reimbursement, and more.

About arenaflex

At arenaflex, we assist humans store cash with a view to stay higher. This assignment serves as the muse for each choice we make, from accountable sourcing to sustainability?and the whole thing in between. As a Walmart associate, you'll play an critical position in shaping the destiny of retail, tech, merchandising, finance and loads of different industries?all even as affecting the lives of hundreds of thousands of clients all around the world. Here, your work makes an effect each day. What are you ready for?

Equal Opportunity Employer

arenaflex is an Equal Opportunity Employer- By Choice. We consider we're satisfactory geared up to assist our associates, clients, and the groups we serve stay higher while we certainly recognize them. That method understanding, respecting, and valuing diversity- particular styles, experiences, identities, abilities, thoughts and opinions- even as being including all humans.

How to Apply

If you're a motivated and experienced data scientist looking for a new challenge, please apply to this role through our website. We can't wait to hear from you! Apply for this job